class_docstr: Wrapper around tensorflow optimizer.
class_docstr_tok: ["Wrapper","around","tensorflow","optimizer","."]
docstr: Wrapper around apply_gradients.
  
  See `tf.keras.optimizers <https://www.tensorflow.org/api_docs/python/tf/keras/optimizers>` for more details.
docstr_tok: ["Wrapper","around","apply_gradients",".","See","`","tf.keras.optimizers","<","https",":","\/\/www.tensorflow.org\/api_docs\/python\/tf\/keras\/optimizers",">","`","for","more","details","."]
code: def apply_gradients(self, grads_and_vars):
      """Wrapper around apply_gradients.
  
      See `tf.keras.optimizers <https://www.tensorflow.org/api_docs/python/tf/keras/optimizers>` for more details.
      """
      self.optimizer.apply_gradients(grads_and_vars)
  
file_path: AmpliGraph/ampligraph/latent_features/optimizers.py
imports: import abc
  import logging
  import six
  import tensorflow
label_desc: Use image node_id 2 for calling the OptimizerWrapper obj's underlying member method code with example usage: obj.apply_gradients(grads_and_vars) without return types